# Michael Beyeler

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/michael-beyeler/

## Facts

| Field | Value |
| --- | --- |
| Citations | 1,566 |
| Field | Neuroscience and Neural Engineering |
| h-index | 21 |
| i10-index | 34 |
| Last Known Institution | University of California, Santa Barbara |
| OpenAlex ID | https://openalex.org/A5075606209 |
| ORCID iD | 0000-0001-5233-844X |
| Works | 156 |

## Researcher papers

- [A model of ganglion axon pathways accounts for percepts elicited by retinal implants](https://scholariq.org/papers/a-model-of-ganglion-axon-pathways-accounts-for-percepts-elicited-by-retinal/)
- [Categorization and decision-making in a neurobiologically plausible spiking network using a STDP-like learning rule](https://scholariq.org/papers/categorization-and-decision-making-in-a-neurobiologically-plausible-spiking/)
- [Learning to see again: biological constraints on cortical plasticity and the implications for sight restoration technologies](https://scholariq.org/papers/learning-to-see-again-biological-constraints-on-cortical-plasticity-and-the/)
- [Neural correlates of sparse coding and dimensionality reduction](https://scholariq.org/papers/neural-correlates-of-sparse-coding-and-dimensionality-reduction/)
- [CARLsim 4: An Open Source Library for Large Scale, Biologically Detailed Spiking Neural Network Simulation using Heterogeneous Clusters](https://scholariq.org/papers/carlsim-4-an-open-source-library-for-large-scale-biologically-detailed-spiking/)
- [pulse2percept: A Python-based simulation framework for bionic vision](https://scholariq.org/papers/pulse2percept-a-python-based-simulation-framework-for-bionic-vision/)
- [CARLsim 3: A user-friendly and highly optimized library for the creation of neurobiologically detailed spiking neural networks](https://scholariq.org/papers/carlsim-3-a-user-friendly-and-highly-optimized-library-for-the-creation-of/)
- [Data-driven models in human neuroscience and neuroengineering](https://scholariq.org/papers/data-driven-models-in-human-neuroscience-and-neuroengineering/)
- [A systematic review of extended reality (XR) for understanding and augmenting vision loss](https://scholariq.org/papers/a-systematic-review-of-extended-reality-xr-for-understanding-and-augmenting/)
- [Deep Learning–Based Scene Simplification for Bionic Vision](https://scholariq.org/papers/deep-learning-based-scene-simplification-for-bionic-vision/)
- [Assistive technology use in domestic activities by people who are blind](https://scholariq.org/papers/assistive-technology-use-in-domestic-activities-by-people-who-are-blind-2/)

## Researcher topics

- [Neuroscience and Neural Engineering](https://scholariq.org/topics/neuroscience-and-neural-engineering/)
- [Advanced Memory and Neural Computing](https://scholariq.org/topics/advanced-memory-and-neural-computing/)
- [EEG and Brain-Computer Interfaces](https://scholariq.org/topics/eeg-and-brain-computer-interfaces/)
- [Neural dynamics and brain function](https://scholariq.org/topics/neural-dynamics-and-brain-function/)
- [Tactile and Sensory Interactions](https://scholariq.org/topics/tactile-and-sensory-interactions/)

## Researcher university

- [University of California, Santa Barbara](https://scholariq.org/institutions/university-of-california-santa-barbara/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.